Showing 2025Show all
3 papers · 1 filter
cs.LG2025
Strategies for Improving Communication Efficiency in Distributed and Federated Learning: Compression, Local Training, and Personalization
Kai Yi
Distributed and federated learning are essential paradigms for training models across decentralized data sources while preserving privacy, yet communication overhead remains a majo…
q-bio.BM2025
All-atom inverse protein folding through discrete flow matching
Kai Yi, Kiarash Jamali, Sjors H. W. Scheres
The recent breakthrough of AlphaFold3 in modeling complex biomolecular interactions, including those between proteins and ligands, nucleotides, or metal ions, creates new opportuni…
cs.LG2025
Symmetric Pruning of Large Language Models
Kai Yi, Peter Richtárik
Popular post-training pruning methods such as Wanda and RIA are known for their simple, yet effective, designs that have shown exceptional empirical performance. Wanda optimizes pe…